Nir S. Gov

10.0k total citations
175 papers, 6.9k citations indexed

About

Nir S. Gov is a scholar working on Cell Biology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Nir S. Gov has authored 175 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Cell Biology, 55 papers in Molecular Biology and 54 papers in Biomedical Engineering. Recurrent topics in Nir S. Gov's work include Cellular Mechanics and Interactions (79 papers), Lipid Membrane Structure and Behavior (39 papers) and Microtubule and mitosis dynamics (30 papers). Nir S. Gov is often cited by papers focused on Cellular Mechanics and Interactions (79 papers), Lipid Membrane Structure and Behavior (39 papers) and Microtubule and mitosis dynamics (30 papers). Nir S. Gov collaborates with scholars based in Israel, United States and France. Nir S. Gov's co-authors include S. A. Safran, Roie Shlomovitz, Thorsten Auth, Itai Pinkoviezky, Raphaël Voituriez, Jean‐François Joanny, Ajay Gopinathan, Anton Zilman, Pascal Silberzan and Alex Veksler and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Nir S. Gov

167 papers receiving 6.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nir S. Gov Israel 46 3.0k 2.6k 2.1k 1.3k 1.1k 175 6.9k
Gijsje H. Koenderink Netherlands 49 3.9k 1.3× 2.4k 0.9× 2.2k 1.1× 1.0k 0.8× 1.0k 0.9× 146 8.2k
Jean‐François Joanny France 58 3.7k 1.2× 2.5k 1.0× 3.8k 1.8× 2.5k 2.0× 1.6k 1.5× 194 12.2k
Christoph F. Schmidt Germany 52 4.1k 1.4× 4.1k 1.6× 3.3k 1.6× 1.0k 0.8× 3.7k 3.4× 135 11.8k
Guillaume Salbreux United Kingdom 36 4.3k 1.4× 1.8k 0.7× 1.9k 0.9× 1.0k 0.8× 511 0.5× 64 5.8k
Margaret L. Gardel United States 52 6.9k 2.3× 2.4k 0.9× 3.0k 1.4× 949 0.7× 1.8k 1.6× 115 10.4k
Pascal Silberzan France 46 3.7k 1.2× 1.6k 0.6× 4.1k 1.9× 1.4k 1.1× 1.1k 1.0× 75 8.6k
Karsten Kruse Germany 42 2.8k 0.9× 2.1k 0.8× 1.3k 0.6× 2.1k 1.6× 653 0.6× 106 6.1k
Raphaël Voituriez France 59 4.0k 1.3× 5.9k 2.3× 2.8k 1.3× 2.0k 1.5× 949 0.9× 191 11.8k
Patricia Bassereau France 55 3.5k 1.2× 6.8k 2.6× 1.6k 0.7× 490 0.4× 1.9k 1.7× 157 9.6k
Benoît Ladoux France 57 8.3k 2.7× 2.5k 1.0× 5.8k 2.7× 1.1k 0.9× 1.3k 1.2× 133 11.6k

Countries citing papers authored by Nir S. Gov

Since Specialization
Citations

This map shows the geographic impact of Nir S. Gov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nir S. Gov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nir S. Gov more than expected).

Fields of papers citing papers by Nir S. Gov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nir S. Gov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nir S. Gov. The network helps show where Nir S. Gov may publish in the future.

Co-authorship network of co-authors of Nir S. Gov

This figure shows the co-authorship network connecting the top 25 collaborators of Nir S. Gov. A scholar is included among the top collaborators of Nir S. Gov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nir S. Gov. Nir S. Gov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Ji, Rakesh K. Kapania, Nir S. Gov, et al.. (2025). Confinement in fibrous environments positions and orients mitotic spindles. PNAS Nexus. 4(7). pgaf201–pgaf201. 1 indexed citations
2.
Paz, Rony, et al.. (2025). Integrated Ising model with global inhibition for decision-making. Proceedings of the National Academy of Sciences. 122(36). e2423557122–e2423557122.
3.
Luciano, Marine, Wang Xi, Cristina Martinez-Torres, et al.. (2024). A minimal physical model for curvotaxis driven by curved protein complexes at the cell’s leading edge. Proceedings of the National Academy of Sciences. 121(12). e2306818121–e2306818121. 9 indexed citations
4.
Gorbonos, Dan, Nir S. Gov, & Iain D. Couzin. (2024). Geometrical Structure of Bifurcations during Spatial Decision-Making. 2(1). 4 indexed citations
5.
Monzo, Pascale, et al.. (2024). Emergent seesaw oscillations during cellular directional decision-making. Nature Physics. 20(3). 501–511. 7 indexed citations
6.
Joseph, D. D., et al.. (2023). Polarization and motility of one-dimensional multi-cellular trains. Biophysical Journal. 122(23). 4598–4613. 7 indexed citations
7.
Jordan, Alex, et al.. (2023). Modelling animal contests based on spatio-temporal dynamics. Journal of The Royal Society Interface. 20(202). 20220866–20220866. 3 indexed citations
8.
Li, Liang, et al.. (2023). A simple cognitive model explains movement decisions in zebrafish while following leaders. Physical Biology. 20(4). 45002–45002. 13 indexed citations
9.
Betz, Timo, et al.. (2021). Chemokine-biased robust self-organizing polarization of migrating cells in vivo. Proceedings of the National Academy of Sciences. 118(7). 28 indexed citations
10.
Dai, Wei, Xiaoran Guo, Yuansheng Cao, et al.. (2020). Tissue topography steers migrating Drosophila border cells. Science. 370(6519). 987–990. 43 indexed citations
11.
Letort, Gaëlle, Maria Almonacid, Wylie Ahmed, et al.. (2020). Active diffusion in oocytes nonspecifically centers large objects during prophase I and meiosis I. The Journal of Cell Biology. 219(3). 29 indexed citations
12.
Nandi, Saroj Kumar, Rituparno Mandal, Pranab Jyoti Bhuyan, et al.. (2018). A random first-order transition theory for an active glass. Proceedings of the National Academy of Sciences. 115(30). 7688–7693. 60 indexed citations
13.
Chaigne, Agathe, Clément Campillo, Raphaël Voituriez, et al.. (2016). F-actin mechanics control spindle centring in the mouse zygote. Nature Communications. 7(1). 10253–10253. 55 indexed citations
14.
Cai, Danfeng, Wei Dai, Mohit Prasad, et al.. (2016). Modeling and analysis of collective cell migration in an in vivo three-dimensional environment. Proceedings of the National Academy of Sciences. 113(15). E2134–41. 56 indexed citations
15.
Maiuri, Paolo, Jean-François Rupprecht, Stefan Wieser, et al.. (2015). Actin Flows Mediate a Universal Coupling between Cell Speed and Cell Persistence. Cell. 161(2). 374–386. 304 indexed citations
16.
Fodor, Étienne, et al.. (2015). Modeling the dynamics of a tracer particle in an elastic active gel. Physical Review E. 92(1). 12716–12716. 42 indexed citations
17.
Kabaso, Doron, Nataliya Bobrovska, Wojciech T. Góźdź, et al.. (2011). On the role of membrane anisotropy and BAR proteins in the stability of tubular membrane structures. Journal of Biomechanics. 45(2). 231–238. 36 indexed citations
18.
Popp, David, Nir S. Gov, Mitsusada Iwasa, & Yuichiro Maéda. (2008). Effect of short‐range forces on the length distribution of fibrous cytoskeletal proteins. Biopolymers. 89(9). 711–721. 17 indexed citations
19.
Shlomovitz, Roie & Nir S. Gov. (2007). Membrane Waves Driven by Actin and Myosin. Physical Review Letters. 98(16). 168103–168103. 71 indexed citations
20.
Gambin, Yann, Ricardo López-Esparza, Myriam Reffay, et al.. (2006). Lateral mobility of proteins in liquid membranes revisited. Proceedings of the National Academy of Sciences. 103(7). 2098–2102. 299 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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